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» Using Statistical Translation Models for Bilingual IR
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IBPRIA
2003
Springer
14 years 24 days ago
Combining Phrase-Based and Template-Based Alignment Models in Statistical Translation
In statistical machine translation, single-word based models have an important deficiency; they do not take contextual information into account for the translation decision. A poss...
Jesús Tomás, Francisco Casacuberta
IJCNLP
2005
Springer
14 years 1 months ago
Phrase-Based Statistical Machine Translation: A Level of Detail Approach
The merit of phrase-based statistical machine translation is often reduced by the complexity to construct it. In this paper, we address some issues in phrase-based statistical mach...
Hendra Setiawan, Haizhou Li, Min Zhang, Beng Chin ...
ACL
2006
13 years 9 months ago
Distortion Models for Statistical Machine Translation
In this paper, we argue that n-gram language models are not sufficient to address word reordering required for Machine Translation. We propose a new distortion model that can be u...
Yaser Al-Onaizan, Kishore Papineni
ACL
2012
11 years 10 months ago
Improving the IBM Alignment Models Using Variational Bayes
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
Darcey Riley, Daniel Gildea
ACL
2010
13 years 5 months ago
Better Filtration and Augmentation for Hierarchical Phrase-Based Translation Rules
This paper presents a novel filtration criteria to restrict the rule extraction for the hierarchical phrase-based translation model, where a bilingual but relaxed well-formed depe...
Zhiyang Wang, Yajuan Lv, Qun Liu, Young-Sook Hwang